Triple
T17115701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaujours |
E415331
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Chelles
Chelles is a suburban commune in the eastern outskirts of Paris, France, known for its residential character and historical abbey.
|
E1443467
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chelles | Statement: [Vaujours, borders, Chelles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chelles Context triple: [Vaujours, borders, Chelles]
-
A.
Chelles–Gournay
Chelles–Gournay is a suburban railway station in the eastern Paris metropolitan area that serves as the outer terminus of RER line E.
-
B.
Draveil
Draveil is a suburban commune in the southern Île-de-France region of France, located near Paris along the Seine River.
-
C.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
D.
Chamblon
Chamblon is a small municipality in the canton of Vaud in western Switzerland.
-
E.
Dourdan
Dourdan is a commune in the Essonne department in the southern suburbs of Paris, France, known for its historic medieval castle and role as a terminus on the RER C suburban rail line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chelles Triple: [Vaujours, borders, Chelles]
Generated description
Chelles is a suburban commune in the eastern outskirts of Paris, France, known for its residential character and historical abbey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chelles Target entity description: Chelles is a suburban commune in the eastern outskirts of Paris, France, known for its residential character and historical abbey.
-
A.
Chelles–Gournay
Chelles–Gournay is a suburban railway station in the eastern Paris metropolitan area that serves as the outer terminus of RER line E.
-
B.
Draveil
Draveil is a suburban commune in the southern Île-de-France region of France, located near Paris along the Seine River.
-
C.
Bourgueil
Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
-
D.
Chamblon
Chamblon is a small municipality in the canton of Vaud in western Switzerland.
-
E.
Dourdan
Dourdan is a commune in the Essonne department in the southern suburbs of Paris, France, known for its historic medieval castle and role as a terminus on the RER C suburban rail line.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80528588190a877dcc6d6d3a392 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd41a5ec8190a477565ecbd83bf2 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d174278481909db394da2a7ff969 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d28e02fc8190ab694673156ab0c0 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 10, 2026, 5:35 a.m.